Evaluating circulating immunologic markers in the development of multiple myeloma
Principal Investigator
Name
Jonathan Hofmann
Degrees
Ph.D., M.P.H.
Institution
NCI
Position Title
Investigator
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-355
Initial CDAS Request Approval
Mar 16, 2018
Title
Evaluating circulating immunologic markers in the development of multiple myeloma
Summary
Severe immune dysregulation is a strong risk factor for multiple myeloma (MM), and experimental studies have implicated chemokines and pro-angiogenic cytokines in MM pathogenesis. We are investigating whether selected circulating immunologic markers are associated with progression from the precursor condition monoclonal gammopathy of undetermined significance (MGUS) to MM in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (EEMS study 2010-145). Specifically, we will conduct analyses to determine if incorporating immune marker measurements can be used to improve existing risk prediction models accounting for established factors.
To accomplish this, we are requesting data on selected demographic and other characteristics of all participants from the screening arm of PLCO, including those with MGUS and MM included in our EEMS study. These data will be used to assign sampling weights for weighted Cox regression models to predict the likelihood of progression from MGUS to MM. We will assess improvements in risk prediction for individual markers as well as a composite marker score based on multiple logistic regression and validated with 5-fold cross-validation (Harrell, 2001) as was previously done to develop an inflammation score that predicts lung cancer risk (Shiels et al, 2015).
To accomplish this, we are requesting data on selected demographic and other characteristics of all participants from the screening arm of PLCO, including those with MGUS and MM included in our EEMS study. These data will be used to assign sampling weights for weighted Cox regression models to predict the likelihood of progression from MGUS to MM. We will assess improvements in risk prediction for individual markers as well as a composite marker score based on multiple logistic regression and validated with 5-fold cross-validation (Harrell, 2001) as was previously done to develop an inflammation score that predicts lung cancer risk (Shiels et al, 2015).
Aims
1. To evaluate whether incorporating selected immunologic markers into existing risk stratification models can improve our ability to identify MGUS-positive subjects at high risk of progression to clinically manifest MM.
Collaborators
Mark Purdue
Hormuzd Katki
Ola Landgren
Related Publications
-
Body mass index and risk of progression from monoclonal gammopathy of undetermined significance to multiple myeloma: Results from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial.
Chang VC, Khan AA, Huang WY, Katki HA, Purdue MP, Landgren O, Hofmann JN
Blood Cancer J. 2022 Apr 1; Volume 12 (Issue 4): Pages 51 PUBMED